Instructions to use yuvalkirstain/sd15_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuvalkirstain/sd15_dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuvalkirstain/sd15_dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 856b5a52f578f8785bf6d6971cdbe0e5624b8734a13c7c368bf03c35caf4db70
- Size of remote file:
- 563 Bytes
- SHA256:
- a02959f98446b8a079aa8050bf167f6e712488dec537d754f2220c31213d4ee2
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